Exelixis (EXEL) Long-Term Debt Repayments (2016 - 2020)
Exelixis' Long-Term Debt Repayments came in at -$34,000 for Q4 2020.
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Analysis
Exelixis (EXEL) Long-Term Debt Repayments (2016 - 2020) Analysis & Trends
For FY2017, Exelixis' Long-Term Debt Repayments was $185.79 million.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 107.6% (FY2013 to FY2017).
- Going back by year, Long-Term Debt Repayments was $575,000 in FY2016 and $10 million in FY2013.
- Business Quant data shows EXEL's Long-Term Debt Repayments at $12,000 (Q3 2020), $11,000 (Q2 2020) and $11,000 (Q1 2020) in the three quarters before Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Exelixis | 16.19 Bn | 12.53 Bn | 608.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2020 | -34,000.00 |
| Sep 27, 2019 | 12,000.00 |
| Jun 28, 2019 | 11,000.00 |
| Mar 29, 2019 | 11,000.00 |
| Jun 30, 2017 | 105.79 Mn |
| Mar 31, 2017 | 80.00 Mn |
| Dec 30, 2016 | 575,000.00 |
API Access
Exelixis Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "EXEL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();